Title :
A geometric method for calibration of the image center
Author :
Yongchun Fang ; Xuebo Zhang ; Baoquan Li ; Ning Sun
Author_Institution :
Inst. of Robot. & Autom. Inf. Syst. (IRAIS), Nankai Univ., Tianjin, China
Abstract :
A geometric approach is proposed to calibrate the image center (also called principle point) of a camera, which is independent of other intrinsic parameters such as the focal length, distortion coefficients, and so on. The basic idea arises from intuitive experience that when the camera moves backward, the path of a static feature point will evolute as a straight line toward the principle point in the image space. The presented method does not require a precise calibration block, and it is insensitive to radical distortion and the variation of focal length. Both linear and nonlinear least square methods are exploited to obtain stable and accurate calibration results. Experiments are conducted to validate the proposed technique.
Keywords :
calibration; cameras; distortion; image motion analysis; least squares approximations; camera; focal length variation; geometric method; image center calibration; image space; intrinsic parameters; linear least square method; nonlinear least square method; radical distortion; static feature point; Algorithm design and analysis; Calibration; Lenses; Noise measurement; Optical imaging; Robots; Uncertainty;
Conference_Titel :
Advanced Mechatronic Systems (ICAMechS), 2011 International Conference on
Conference_Location :
Zhengzhou
Print_ISBN :
978-1-4577-1698-0